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Since CouchDB is considered an AP (Available, Partition-Tolerant database management system), it is not really consistent (not all clients can have the same view of the data consistently) and the only way to achieve some "eventual consistency" is through replication and verification of data. See More
MongoDB was very easy to get used to and although I haven't gone too advanced with it, it is also great to use with NodeJS which is my primary programming language. It also has a very handy tool called MongoDB Compass which is available free for the community edition and works well. See More
MongoDB is a document database that offers the scalability and flexibility that you want with the querying and indexing of your need. Further, the main emphasis while building MongoDB was on scalability and consistency. MongoDB is very proficient and great in their applications so just a few common comparisons can’t do justice to these technologies Just found this blog that Includes Pros & Cons, Common comparisons about Best NoSQL Databases MongoDB vs Firebase - https://www.excellentwebworld.com/mongodb-vs-firebase/ In conclusion; whichever database you choose, you will need a very highly skilled and intellectual team of developers to set up your back-end database structure See More
Ellie Windler's Experience
MongoDB has powerful sharding and scaling capabilities for when the data stored in the database gets so large that a single machine may not be able to store all of it. Sharding solves this problem through horizontal scaling. Mongo gives developers the ability to easily and painlessly add or remove as many machines as needed. See More
In true AWS fashion, the documentation for DynamoDB is not top notch. While the learning curve is generally very soft and it's not hard to learn, you need to have at least some experience with cloud and database management to be able to start using DynamoDB and understand the documentation. See More